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arXiv · 1511.07916

Natural Language Understanding with Distributed Representation

Kyunghyun Cho
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Abstract

This is a lecture note for the course DS-GA 3001 at the Center for Data Science , New York University in Fall, 2015. As the name of the course suggests, this lecture note introduces readers to a neural network based approach to natural language understanding/processing. In order to make it as self-contained as possible, I spend much time on describing basics of machine learning and neural networks, only after which how they are used for natural languages is introduced. On the language front, I almost solely focus on language modelling and machine translation, two of which I personally find most fascinating and most fundamental to natural language understanding.

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Kyunghyun Cho. 2015-11-24. Natural Language Understanding with Distributed Representation. https://arxiv.org/abs/1511.07916

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